ZTE Unveils AIRDNA at MWC25: An AI-Driven End-to-End Network Solution Ushering in an Era of Intelligent Connectivity

ZTE Unveils AIRDNA at MWC25: An AI-Driven End-to-End Network Solution Ushering in an Era of Intelligent ConnectivityDuring Mobile World Congress 2025 (MWC25) in Barcelona, ZTE held a launch event for its groundbreaking AI-driven end-to-end network solution, AIRDNA. This solution, with AI as its core engine, deeply reconstructs the genes and architecture of mobile networks, redefining the intelligent form of future networks and aiming to usher in a new era of intelligent connectivity for all things

ZTE Unveils AIRDNA at MWC25: An AI-Driven End-to-End Network Solution Ushering in an Era of Intelligent Connectivity

During Mobile World Congress 2025 (MWC25) in Barcelona, ZTE held a launch event for its groundbreaking AI-driven end-to-end network solution, AIRDNA. This solution, with AI as its core engine, deeply reconstructs the genes and architecture of mobile networks, redefining the intelligent form of future networks and aiming to usher in a new era of intelligent connectivity for all things. AIRDNA is not a simple technology upgrade but a complete overhaul of existing network architecture, integrating AI capabilities into every layer of the network, from infrastructure to application services, achieving true end-to-end intelligence.

ZTE Senior Vice President, Zhang Wanchun, detailed the composition of AIRSolution at the launch event. He highlighted three core components: a full-stack AI foundation, end-to-end intelligent network reconstruction, and the resulting value transformation.

I. Full-Stack AI Foundation: Building a Powerful AI Capability Basis

The full-stack AI foundation is the cornerstone of AIRSolution, providing powerful AI capability support. It consists of three key components:

• Open Infrastructure: This focuses on building an open, flexible, and scalable AI infrastructure to provide a reliable operating environment for various AI applications. This ensures the AIRDNA solution can adapt to evolving network needs and technological trends, supporting future innovation and expansion. Openness also facilitates better integration with partner ecosystems, promoting technological synergy and industry progress.

• Full Lifecycle Training and Inference Platform: This provides a complete AI model lifecycle management platform, covering the entire process from model training, testing, and deployment to maintenance. It simplifies the AI model development and deployment process, improves efficiency, and ensures model stability and reliability. This is crucial for ensuring the continuous optimization and improvement of the AIRDNA solution.

• Full Range of Nebula Large Models for Different Application Scenarios: ZTE has developed a series of Nebula large models targeting different network application scenarios. These models are optimized for specific needs, providing more accurate and efficient AI capabilities. This demonstrates that ZTE is not merely providing a general-purpose AI model but customized AI solutions based on diverse network requirements, maximizing the value of AI technology. These targeted models will enhance AIRDNA's performance across various applications.

II. End-to-End Intelligent Network Reconstruction: Achieving Intelligent Network Transformation

The second core component of AIRDNA is the reconstruction of the end-to-end intelligent network, covering three key areas: Radio Access Network (RAN), Core Network (Core), and Network Operation & Maintenance (Net). These are implemented through three sub-solutions: AIRRAN, AIRCore, and AIRNet, respectively.

• AIRRAN: From Dedicated to Heterogeneous, Achieving Intelligent Radio Access Network: AIRRAN represents ZTE's AI-driven innovation in the RAN field. By deeply integrating AI technology into the RAN, it achieves a transition from a dedicated architecture to a heterogeneous architecture. This allows the network to more flexibly adapt to different service requirements and network environments. ZTE's development of AIRRAN has yielded significant achievements, including the industry's first NodeEngine computing base station (2020), the all-in-one hyper-converged device UniEngine (2023), and the base station intelligent computing engine AIREngine (2024). These achievements reflect ZTE's leading position in the integration of AI and RAN. AIRRAN's "All-in-one radio frequency, converged computing and intelligence for baseband, and full-line closed-loop management of infrastructure" digital intelligent site design, along with the application of digital twins and large models, further enhances the network's adaptability and O&M efficiency.

• AIRCore: From Cloud-Native to AI-Native, Achieving Intelligent Core Network: ZTE Vice President Chen Xinyu emphasized that the core network, as the brain of the network, needs to continuously embrace the latest technologies. AIRCore represents ZTE's AI-native upgrade of the core network. It evolves the core network from a cloud-native architecture to an AI-native architecture, utilizing AI technology to achieve intent-driven, intelligent agents, and high-level self-organizing networks. AIRCore's AI capabilities are not only reflected in "AI for Core," improving user experience, connection value, and network resilience through multi-modal communication, large language models, and digital twins; but also in "Core for AI," providing one-stop computing power, ready-to-use models, and efficient networks for AI applications.

• AIRNet: From Assisted Intelligence to Autonomous Intelligence, Achieving Intelligent Network Operation & Maintenance: ZTE Vice President Zheng Peng introduced the AIRNet high-level self-organizing network solution. Based on three engines: big data, AI large models, and digital twins, it intelligently transforms the infrastructure, single domain, and cross-domain. AIRNet aims to drive the O&M model from "device-oriented" to "service-oriented" intelligent "Agentic Operation," achieving end-to-end automation through open decoupling and addressing bottlenecks in the O&M process. Layered intelligence injection and cross-domain collaboration help operators achieve an upgrade from point-wise self-intelligence to end-to-end intelligence, ultimately achieving cost and time savings.

III. Value Transformation: Empowering Mobile AI, Promoting Intelligent Transformation

Through the collaborative work of the three core components, AIRSolution will comprehensively improve the efficiency, performance, and reliability of mobile networks and provide strong support for the development of mobile AI. It will bring the following value transformations:

• Comprehensive Upgrade of Mobile Experience: Through AI empowerment, users will gain a smoother, more stable, and personalized mobile network experience.

• Empowering Business Ecosystems: AIRDNA will provide better infrastructure and services for various mobile AI applications, promoting the thriving development of the mobile AI ecosystem.

• Revolutionizing Service Paradigms: AI-driven networks will change the way operators provide services, making them more intelligent, automated, and personalized.

• ZTE's released white papers, including the AIRRAN Solution White Paper, ZTE AIRCore Technology System White Paper, and Self-Organizing Network White Paper 2025, delve into AI and RAN integration, AI-native evolution of the core network, and the future development trends of self-organizing networks, providing important references for industry development. These white papers reflect ZTE's in-depth research and technological accumulation in this field and showcase the company's clear plan for the future of networks.

Conclusion: AIRDNA Leads the Future Direction of Network Development

AIRDNA represents a major breakthrough for ZTE in the field of future networks, marking the entry of mobile networks into a new AI-driven era. By deeply integrating AI technology into all layers of the network, AIRDNA will drive mobile networks towards more intelligent, automated, and efficient development, injecting strong momentum into global intelligent transformation and ultimately helping to usher in a new chapter of human-machine symbiosis and intelligent future. ZTE will continue to deepen cooperation with global industry partners to jointly promote technological innovation, explore new value, build an open and win-win new ecosystem, and contribute to the global digital and intelligent transformation process.

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